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Orchestration tools for managing the lifecycle of reinforcement learning training.
Distinguishing note: Focuses on the coordination of RL training runs.
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This project is a comprehensive platform for quantitative investment research, machine learning, and algorithmic trading. It provides an end-to-end environment for developing, testing, and executing financial strategies, supporting the entire lifecycle from data ingestion and feature engineering to model training and backtesting. The system is distinguished by its configuration-driven workflow orchestration, which allows researchers to automate complex pipelines and manage experiments through declarative files. It features a high-performance data infrastructure that utilizes custom binary for
Coordinates the reinforcement learning lifecycle by managing environment creation, policy updates, and runtime execution.